G2’s data becomes more valuable when it helps customers make better decisions and works inside the systems they already use. We are looking for a Principal Product Manager who combines technical expertise with strong business acumen to help grow our Data Solutions business and lead the ecosystem of APIs, integrations, partner capabilities, and MCP- and agent-enabled workflows that brings G2 data to market.

You will own the product strategy and roadmap that supports four broader business goals: Data Solutions revenue and pipeline growth; customer MCP adoption and usage; expansion of MCP surface area through partners; and integration cleanup and migration. Your contribution will vary by goal—sometimes through direct ownership of product capabilities and migration work, and sometimes through close partnership with commercial, Partnerships, Data, and Engineering leaders.

This is a senior individual-contributor role for someone who can lead product strategy and work directly with code. You should be able to translate business use cases into technical builds, prototype API or MCP integrations and ship targeted code when that is the fastest way to validate an approach or unblock delivery while engineering remains accountable for production architecture, quality, reliability, and sustained implementation.

Ecosystem Strategy and Product Architecture

• Own the strategy and roadmap for how G2 data is exposed and activated through APIs, MCP, strategic integrations, and developer and partner surfaces.
• Own the integration hub service, developer portal, and public-facing surfaces used by Marketing Solutions customers, Data Solutions customers, and partners, including the health, rationalization, and migration of the integration portfolio.
• Define the platform capabilities that should be built once and reused across customers, partners, and use cases.
• Work with Partnerships to identify the partners that can most effectively expand MCP surface area and customer value, while deciding whether each use case belongs in MCP, an API, or a more custom integration.
• Prioritize investments using customer evidence, revenue opportunity, partner readiness, technical leverage, and strategic differentiation.
• Make clear build, buy, partner, and defer decisions.

Technical Discovery and Delivery

• Work closely with Engineering and Data teams on APIs, data contracts, authentication, permissions, reliability, and developer experience.
• Prototype integrations and ship targeted code when doing so accelerates learning, proves an approach, or unblocks delivery.
• Create reusable patterns that let other G2 product teams safely expose their workflows through MCP without the Ecosystem PM owning every product-specific use case.
• Translate technical constraints and architecture choices into clear customer and business tradeoffs.
• Stay close to implementation details without losing accountability for the product strategy and outcome.

Data Solutions Product Strategy and Growth

• Own the product roadmap supporting Data Solutions revenue and pipeline growth, aligning customer needs and market opportunities with new business, retention, and expansion priorities.
• Build a deep understanding of how investors, financial institutions, AI labs, and other Data Solutions customers use G2 data, what drives its value, and where unmet needs create opportunities to grow.
• Partner with Data Solutions commercial leaders to shape new offerings and improve existing ones, including recommendations on data coverage, packaging, pricing, delivery options, and customer experience.
• Support priority customer opportunities through discovery, technical evaluation, and pilots, helping customers validate the value of G2 data and turning repeatable needs into scalable product capabilities.
• Work with Engineering and Data teams to improve the quality, coverage, freshness, documentation, and delivery of data based on the needs of priority customer segments.
• Partner with account teams to identify adoption barriers, renewal risks, and expansion opportunities, translating those insights into clear roadmap priorities.

Partnerships and Integrations

• Turn repeated commercial and partner needs into productized capabilities rather than bespoke commitments.
• Define product requirements and launch plans for partner-enabled MCP capabilities and integrations that materially improve customer workflows or expand G2’s distribution.
• Lead the cleanup and migration of legacy integrations with clear ownership, customer communication, deprecation plans, and paths to the future-state architecture.

Product-Revenue Connectivity

• Create a shared planning and feedback loop across Product, Revenue, Partnerships, Customer Success, and Marketing.
• Give commercial teams a simple, accurate view of current capabilities, roadmap intent, dependencies, and tradeoffs.
• Balance near-term customer and partner needs with a durable platform strategy.
• Define the role’s product contribution across Data Solutions revenue and pipeline, customer MCP adoption and usage, partner-expanded MCP surface area, integration migration progress, reliability, retention, renewal influence, and expansion.

We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway.

• 10+ years of product management experience, including senior ownership of technical B2B products, platforms, APIs, data products, or integration ecosystems.
• Strong fluency in APIs, authentication, real-time and batch data delivery, integration architecture, developer workflows, and MCP.
• Ability to read and write code well enough to prototype integrations, inspect implementation constraints, and ship targeted changes when appropriate.
• A track record of turning ambiguous customer, partner, and commercial demand into focused product strategy and reusable capabilities.
• Experience leading 0-to-1 technical products and evolving them into stable platforms.
• Proven ability to work across Engineering, Data, Partnerships, Revenue, Customer Success, and executive stakeholders with competing priorities.
• Demonstrated experience growing a B2B data or technical product business through customer discovery, offering development, and close partnership with commercial teams.
• Clear communication and strong judgment about when to move quickly, when to standardize, and when to say no.

• Experience with data licensing, commercial data products, or customers such as investors, financial institutions, and AI labs.
• Experience with B2B data, developer tools, SaaS platforms, or partner-led products.
• Experience with MCP, agentic workflows, AI-enabled integrations, or semantic data access.
• Experience with design-partner, partner-engineering, solutions-architecture, or product-led partnership motions.

Our Commitment to Inclusivity and Diversity

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How We Use AI Technology in Our Hiring Process

G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.

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